Operations Research an Introduction /
Hamdy A. Taha, University of Arkansas, Fayetteville.
- 9th ed.
- New Delhi Pearson 2014
- 816 24 cm
Operations Research: An Introduction 9/e continues to streamline the coverage of the theory, applications and computations of operations research. Numerical examples are effectively used to explain complex mathematical concepts. A separate chapter of fully analyzed applications aptly demonstrates the diverse use of OR. The popular commercial and tutorial software AMPL, Excel, Excel Solver and Tora are used throughout the book to solve practical problems and to test theoretical concepts.
Chapter 1: What Is Operations Research? Chapter 2: Modeling with Linear Programming Chapter 3: The Simplex Method and Sensitivity Analysis Chapter 4: Duality and Post-Optimal Analysis Chapter 5: Transportation Model and Its Variants Chapter 6: Network Models Chapter 7: Advanced Linear Programming Chapter 8: Integer Linear Programming Chapter 9: Heuristic and Constraint Programming Chapter 10: Traveling Salesperson Problem (TSP) Chapter 11: Deterministic Dynamic Programming Chapter 12: Deterministic Inventory Models Chapter 13: Decision Analysis and Games Chapter 14: Probabilistic Inventory Models Chapter 15: Markov Chains Chapter 16: Queuing Systems Chapter 17: Simulation Modeling Chapter 18: Classical Optimization Theory Chapter 19: Nonlinear Programming Algorithms Appendix A: AMPL Modeling Language